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020 _a9783540684169
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024 7 _a10.1007/978-3-540-68416-9
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
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072 7 _aUYQE
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072 7 _aUNF
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072 7 _aUYQE
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082 0 4 _a006.312
_223
245 1 0 _aMining Complex Data
_h[electronic resource] :
_bECML/PKDD 2007 Third International Workshop, MDC 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected Papers /
_cedited by Zbigniew W. Ras, Shusaku Tsumoto, Djamel A. Zighed.
250 _a1st ed. 2008.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2008.
300 _aX, 265 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4944
505 0 _aSession A1 -- Using Text Mining and Link Analysis for Software Mining -- Generalization-Based Similarity for Conceptual Clustering -- Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining -- Session A2 -- Conceptual Clustering Applied to Ontologies -- Feature Selection: Near Set Approach -- Evaluating Accuracies of a Trading Rule Mining Method Based on Temporal Pattern Extraction -- Session A3 -- Discovering Word Meanings Based on Frequent Termsets -- Quality of Musical Instrument Sound Identification for Various Levels of Accompanying Sounds -- Discriminant Feature Analysis for Music Timbre Recognition and Automatic Indexing -- Session A4 -- Contextual Adaptive Clustering of Web and Text Documents with Personalization -- Improving Boosting by Exploiting Former Assumptions -- Discovery of Frequent Graph Patterns that Consist of the Vertices with the Complex Structures -- Session B1 -- Finding Composite Episodes -- Ordinal Classification with Decision Rules -- Data Mining of Multi-categorized Data -- ARAS: Action Rules Discovery Based on Agglomerative Strategy -- Session B2 -- Learning to Order: A Relational Approach -- Using Semantic Distance in a Content-Based Heterogeneous Information Retrieval System -- Using Secondary Knowledge to Support Decision Tree Classification of Retrospective Clinical Data -- POM Centric Multi-aspect Data Analysis for Investigating Human Problem Solving Function.
520 _aThis book constitutes the refereed proceedings of the Third International Workshop on Mining Complex Data, MCD 2007, held in Warsaw, Poland, in September 2007, co-located with ECML and PKDD 2007. The 20 revised full papers presented were carefully reviewed and selected; they present original results on knowledge discovery from complex data. In contrast to the typical tabular data, complex data can consist of heterogenous data types, can come from different sources, or live in high dimensional spaces. All these specificities call for new data mining strategies.
650 0 _aData mining.
_93907
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aArtificial intelligence
_xData processing.
_921787
650 0 _aInformation retrieval.
_910134
650 0 _aComputer architecture.
_93513
650 1 4 _aData Mining and Knowledge Discovery.
_9155787
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aData Science.
_934092
650 2 4 _aData Storage Representation.
_931576
700 1 _aRas, Zbigniew W.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9155788
700 1 _aTsumoto, Shusaku.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9155789
700 1 _aZighed, Djamel A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9155790
710 2 _aSpringerLink (Online service)
_9155791
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540684152
776 0 8 _iPrinted edition:
_z9783540848097
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4944
_9155792
856 4 0 _uhttps://doi.org/10.1007/978-3-540-68416-9
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